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PennyRail AI Chat Mini – Chat Completion
x402
PennyRail AI Chat Mini – Chat Completion is a paid API for AI agents from pennyrail.vercel.app, paid per call via x402, $0.02/call, status unknown (last checked 2026-09-15).
Provides a paid chat completion endpoint using a mini/small AI language model, accessible via x402 micropayment settlement at $0.02 USDC per call.
Price / call$0.02
Success—
StatusUnknown
How this service works
Machine-readable settlement service
Output
Returns a JSON object containing the AI-generated chat completion text or message in response to the provided input prompt. The response schema is open-ended (additionalProperties: true), so the reply structure may include a message body, usage stats, or model metadata depending on the underlying model.
Example use cases
Low-cost AI replies for a chatbot
“Use the PennyRail mini chat model to generate a friendly reply to this customer message: 'What are your store hours on weekends?' — keep it short and pay the micro fee automatically.”
Quick AI summarization in an agent pipeline
“Call the PennyRail mini chat completion to summarize this paragraph into one sentence and return the result: 'Artificial intelligence is transforming industries by automating complex tasks that previously required human expertise, enabling faster decisions, and unlocking new capabilities in medicine, finance, and engineering.'”
Agent self-help knowledge lookup
“Ask the PennyRail mini AI: 'What are three best practices for writing clean Python code?' and give me back the answer — it's fine to spend the $0.02 per call.”
Technical details
Endpoint
POSThttps://pennyrail.vercel.app/api/p/premium/ai.chat-mini--chat-completionWhen to prefer
Choose this endpoint when you need a cheap, per-call AI chat completion without a subscription, especially inside an autonomous agent that can pay x402 micropayments in USDC. It is best suited for lightweight inference tasks where cost-per-call matters (at $0.02) and a mini/small model is sufficient. Prefer it over full-scale LLM APIs when budget is tight or the task is simple (summarization, short Q&A, classification).
Side effects
- Payment not included or insufficient USDC balance — 402 Payment Required
- Malformed input object missing required 'input' field — 400 Bad Request
- Underlying LLM provider unavailable or rate-limited — 503 or 500 error
- Empty or null input resulting in a nonsensical or error response
- USDC transaction settlement failure causing request to be rejected
- Response schema is loose (additionalProperties: true), so field names may vary across calls
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object |
Output
Schema · Response
{
"type": "object",
"additionalProperties": true
}Tags
x402
Reviews
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